Supabase vs Firebase: Choosing the Right Database for AI Projects

When diving into AI projects, choosing the right database can feel like navigating a maze. Both Supabase and Firebase are popular choices among developers, but they cater to different needs and project scales. As a solo founder or indie hacker, you want a solution that not only fits your budget but also scales with your project.

In 2026, both platforms have evolved, adding features and pricing tiers that can make the decision even trickier. Let's break down what each platform offers, their limitations, and help you make an informed choice for your AI project.

Key Features Comparison

| Feature | Supabase | Firebase | |----------------------|-------------------------------------------|--------------------------------------------| | Database Type | PostgreSQL | NoSQL (Firestore) | | Real-time | Yes | Yes | | Authentication | Built-in Auth | Firebase Auth | | Storage | File storage with Postgres | Cloud Storage | | Pricing | Free tier + Paid plans starting at $25/mo| Free tier + Paid plans starting at $24/mo | | Best For | Structured data and SQL queries | Unstructured data and rapid prototyping | | Limitations | Less support for NoSQL features | Limited SQL capabilities |

Pricing Breakdown

Understanding the pricing structure is crucial for indie hackers. Here’s a detailed look at what you can expect from both platforms:

Supabase Pricing

• Free Tier: Access to basic features, up to 2GB database size.
• Pro Plan: Starts at $25/month, offering up to 8GB database size and additional features like row-level security and more concurrent connections.
• Enterprise Plan: Custom pricing for larger teams and needs.

Firebase Pricing

• Free Tier: Includes basic features, limited to 1GB database size.
• Blaze Plan: Pay as you go, starting at $24/month for additional usage beyond free tier limits.
• Custom Plan: For enterprises requiring extensive resources.

Use Cases: When to Choose Each

Choose Supabase If:

• You need a relational database with SQL capabilities for complex queries.
• Your AI project involves structured data that fits well within a traditional database model.
• You want an open-source solution and prefer PostgreSQL features.

Choose Firebase If:

• Your project relies heavily on real-time data syncing and unstructured data.
• You need to prototype quickly and want to leverage Firebase's extensive integrations.
• You're building mobile-first applications and want seamless integration with Google services.

Limitations to Consider

It's important to be honest about what each platform can't do:

• Supabase Limitations: While it supports real-time features, it's not as robust as Firebase in this area. If your AI project requires extensive NoSQL capabilities, Supabase might feel limiting.

• Firebase Limitations: SQL queries are not natively supported, which can be a drawback for AI projects that need complex data relationships. Additionally, costs can escalate quickly with the Blaze plan if you're not careful with usage.

What We Actually Use

In our experience, we lean towards Supabase for structured AI projects where we need to run complex queries and utilize PostgreSQL's features. However, for rapid prototyping and mobile applications, Firebase has been invaluable.

Conclusion: Start Here

If you’re just starting out with an AI project, I recommend evaluating the structure of your data first. If it's mostly structured and you need SQL capabilities, go with Supabase. If you're dealing with unstructured data and need rapid development, Firebase is your best bet.

In either case, both platforms have free tiers that allow you to experiment without financial commitment. Test them out and see which aligns better with your project needs.